Saitama, Japan

Kazunori Matsumoto


Average Co-Inventor Count = 2.6

ph-index = 5

Forward Citations = 185(Granted Patents)


Location History:

  • Ohmiya, JP (2001 - 2006)
  • Fujimino, JP (2012)
  • Saitama, JP (1999 - 2015)

Company Filing History:


Years Active: 1999-2015

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12 patents (USPTO):Explore Patents

Title: Kazunori Matsumoto: Innovator in Viewer Attribute Estimation and Machine Learning

Introduction

Kazunori Matsumoto is a prominent inventor based in Saitama, Japan. He has made significant contributions to the fields of viewer attribute estimation and machine learning. With a total of 12 patents to his name, Matsumoto's work has had a considerable impact on technology and innovation.

Latest Patents

Matsumoto's latest patents include a method for context-based automatic selection of factors for estimating characteristics of viewers who view the same content. This innovative method involves storing a multi-layered hierarchical list of attribute words that express viewer attributes. It also includes extracting these attribute words from the content and generating vectors to calculate similarity scores for selecting the most relevant factors. Another notable patent is the development of a condensed Support Vector Machine (SVM) for high-speed learning using large amounts of training data. This invention optimizes the selection and management of training data to enhance the efficiency of machine learning processes.

Career Highlights

Throughout his career, Kazunori Matsumoto has worked with notable companies such as KDDI Corporation and Kokusai Denshin Denwa Co., Ltd. His experience in these organizations has allowed him to refine his skills and contribute to groundbreaking innovations in technology.

Collaborations

Matsumoto has collaborated with several talented individuals in his field, including Kazuo Hashimoto and Duc Dung Nguyen. These partnerships have fostered a creative environment that has led to the development of innovative solutions.

Conclusion

Kazunori Matsumoto's contributions to the fields of viewer attribute estimation and machine learning demonstrate his commitment to innovation. His patents reflect a deep understanding of technology and its applications, making him a significant figure in the industry.

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